高等数学课程面临着知识体系庞大且复杂、教学资源分散、难以系统化等问题。知识图谱是解决这些问题的有效途径,为了更好地展示高等数学知识点以及关联关系,进一步发现数学概念的基础支撑作用,设计了一种环状结构的知识图谱,从教学实践分析,该形式便于理解的同时能够提高学生的自主学习能力和研究分析能力。Advanced mathematics courses are faced with problems such as huge and complex knowledge system, scattered teaching resources, and difficulty to systematize. Knowledge Graph is an effective way to solve these problems. In order to better display the knowledge points and relationships of higher mathematics, and further discover the basic supporting role of mathematical concepts, a knowledge Graph with a ring structure is designed. From the analysis of teaching practice, this form is easy to understand and can improve students’ self-directed learning ability and research and analysis ability.
为了克服正则化理论的全变分图像盲复原模型中出现的运行效率低、效果不好等问题,提出一种基于交替方向乘子法的盲复原迭代算法。该算法通过交替迭代的方式,将复原图像与点扩散函数交替估计,同时不必更新惩罚项从而提高了运行速度和复原的质量。计算同时加入了对点扩散函数的归一化和阈值约束条件以及对图像的正定性条件。数值试验中,对不同模糊类型的图像进行了盲复原处理,并与已有的其他盲复原方法进行了比较。从主观评价能够发现,提出的算法能够改进图像的质量,提高其分辨率;通过客观指标比较,峰值信噪比(peak signal to noise ratio,PSNR)最大能够提高1.2 d B,结构相似度(structural similarity index,SSIM)最大提高1%,计算时间最大节约一半左右。
